Job Description
Join DataPulse Analytics, a leader in AI-driven business intelligence, as we revolutionize how Fortune 500 companies leverage data. Our San Francisco-based team builds predictive models that drive strategic decisions across finance, healthcare, and e-commerce. You'll architect end-to-end ML pipelines, collaborate with cross-functional product teams, and directly impact revenue optimization for clients like Tesla and Salesforce. We offer competitive equity, unlimited PTO, and a culture where data scientists shape company vision.
Responsibilities
- Design and deploy production-grade machine learning models for customer segmentation and revenue forecasting
- Translate complex business problems into data-driven solutions using Python, SQL, and Spark
- Lead A/B testing frameworks and statistical analysis for product optimization
- Mentor junior analysts and present findings to C-suite executives
- Optimize cloud data pipelines on AWS/GCP for 10M+ daily transactions
- Develop real-time analytics dashboards using Tableau and Looker
Qualifications
- 5+ years in data science with 3+ years building ML solutions at scale
- Expertise in Python (scikit-learn, TensorFlow) and SQL (PostgreSQL, BigQuery)
- Strong statistical foundations: hypothesis testing, causal inference, experimental design
- Experience with cloud data ecosystems (AWS/GCP) and MLOps tools
- Portfolio demonstrating impact from NLP or time-series forecasting projects
- Master's degree in CS, Statistics, or quantitative field